Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lucian, Vlad"'
Autor:
William, Tettelbach, Jonathan, Arnold, Alberto, Aviles, Christopher, Barrett, Animesh, Bhatia, Michael, Desvigne, Lisa J, Gould, Marcus S, Speyrer, Mark, Suski, Colin J, Traynor, Lucian, Vlad
Publikováno v:
Wounds : a compendium of clinical research and practice. 31
Use of ultra-portable, mechanically powered disposable negative pressure wound therapy (dNPWT) has grown as an adjunctive modality to manage wounds in outpatient care and to expedite transition of inpatients to an outpatient setting. This technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6ef85d14aacb9d57f62a80a2272a3590
https://pubmed.ncbi.nlm.nih.gov/30741645
https://pubmed.ncbi.nlm.nih.gov/30741645
Publikováno v:
Parallel Processing Letters. 10:99-109
High DRAM densities will make intelligent memory chips a commodity in the next five years [1] [2]. This paper focuses upon a promising model of computation in intelligent memory, Active Pages [3], where computation is associated with each page of mem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b42f06e0958c17f434acb26b2767904c
https://doi.org/10.1142/s0129626400000111
https://doi.org/10.1142/s0129626400000111
Publikováno v:
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy.
Privacy is a major concern for Internet users and Internet policy regulators. Privacy violations usually entail either sharing Personally Identifying Information (PII) or non-PII information such as a site visitor's behavior on a website. On the othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::511e5280741597f4849730324a5d5960
https://doi.org/10.1145/2351356.2351362
https://doi.org/10.1145/2351356.2351362
Publikováno v:
CIKM
Due to the continuous and rampant increase in the size of domain specific data sources, there is a real and sustained need for fast processing in time-sensitive applications, such as medical record information extraction at the point of care, genetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::908b422cee7516f1991350dca926f2d4
https://doi.org/10.1145/1458082.1458211
https://doi.org/10.1145/1458082.1458211
Owing to new advances in computer hardware, large text databases have become more prevalent than ever. Automatically mining information from these databases proves to be a challenge due to slow pattern/string matching techniques. In this paper we pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f1c6095968efea96f674a03c36840e90
https://europepmc.org/articles/PMC2655937/
https://europepmc.org/articles/PMC2655937/
Publikováno v:
ICMLA
In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic large-scale ICD-9 coding of medical patient records. Since most of the ICD-9 codes are unevenly represented in the medical records, a weighted s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb5ca918d5e3b9ee25eef657133f33b
https://doi.org/10.1109/icmla.2007.22
https://doi.org/10.1109/icmla.2007.22
Publikováno v:
ICMLA
With the rapid growth of the World Wide Web (www), it becomes a critical issue to design and organize the vast amounts of on-line documents on the web according to their topic. Even for the search engines it is very important to group similar documen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24dbd79a9ed6da09f105862ebc18b367
https://doi.org/10.1109/icmla.2007.32
https://doi.org/10.1109/icmla.2007.32
Publikováno v:
On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops ISBN: 9783540768876
OTM Workshops (1)
OTM Workshops (1)
In this paper we describe a novel methodology for retrieving and combining information from multiple ontologies for the medical domain. In the last decades the number and diversity of available ontologies for the medical domain has grown considerably
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0fe5952f4417fafe0171591cb2b20a9
https://doi.org/10.1007/978-3-540-76888-3_78
https://doi.org/10.1007/978-3-540-76888-3_78
Publikováno v:
HLT/EMNLP
We introduce BLANC, a family of dynamic, trainable evaluation metrics for machine translation. Flexible, parametrized models can be learned from past data and automatically optimized to correlate well with human judgments for different criteria (e.g.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bfd61f989e68dedb5e1b3875706e5c5
https://doi.org/10.3115/1220575.1220668
https://doi.org/10.3115/1220575.1220668
Autor:
Lucian Vlad Lita, Jaime G. Carbonell
Publikováno v:
CIKM
Data-driven approaches in question answering (QA) are increasingly common. Since availability of training data for such approaches is very limited, we propose an unsupervised algorithm that generates high quality question-answer pairs from local corp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1102f7d7b97a0c4269ff8ddba9d964f9
https://doi.org/10.1145/1031171.1031283
https://doi.org/10.1145/1031171.1031283